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Mixtures of skewed and elliptical distributions are implemented using mixtures of multivariate skew power exponential and power exponential distributions, respectively. A generalized expectation-maximization framework is used for parameter estimation. See citation() for how to cite.
| Version: | 0.9.2 |
| Imports: | mvtnorm |
| Suggests: | testthat |
| Published: | 2023-10-16 |
| Author: | Ryan P. Browne[aut, cre], Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], and Paul D. McNicholas[aut] |
| Maintainer: | Utkarsh J. Dang <utkarshdang at cunet.carleton.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | mixSPE citation info |
| Materials: | NEWS |
| In views: | Distributions |
| CRAN checks: | mixSPE results |
| Reference manual: | mixSPE.pdf |
| Package source: | mixSPE_0.9.2.tar.gz |
| Windows binaries: | r-devel: mixSPE_0.9.2.zip, r-release: mixSPE_0.9.2.zip, r-oldrel: mixSPE_0.9.2.zip |
| macOS binaries: | r-release (arm64): mixSPE_0.9.2.tgz, r-oldrel (arm64): mixSPE_0.9.2.tgz, r-release (x86_64): mixSPE_0.9.2.tgz, r-oldrel (x86_64): mixSPE_0.9.2.tgz |
| Old sources: | mixSPE archive |
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